Proper Strict Efficiency in Set Optimization with Partial Set Order Relation

This paper is devoted to the investigation of the proper strict efficient solutions to a set optimization problem with a partial set order relation. Firstly, the notion of proper strict efficient solution defined by the Minkowski difference is introduced, and it is worth mentioning that the introduced strict efficiency is different from those in the existing literature. Secondly, a class of generalized contingent derivatives for set-valued maps is proposed, which are characterized in terms of a set criterion. Finally, the necessary and sufficient optimality conditions and a scalarization theorem for proper strict efficiency are established. Some concrete examples are given to illustrate the obtained results.

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Publication Details

Journal
Mathematics
Published
2026-01-05
DOI
https://doi.org/10.3390/math14010197
Primary Topic
Optimization and Variational Analysis
Type
article
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article

Proper Strict Efficiency in Set Optimization with Partial Set Order Relation

Wenyan Han, Guolin Yu
Mathematics
Optimization and Variational Analysis
article

Proper Strict Efficiency in Set Optimization with Partial Set Order Relation

Wenyan Han, Guolin Yu
article en

Abstract

This paper is devoted to the investigation of the proper strict efficient solutions to a set optimization problem with a partial set order relation. Firstly, the notion of proper strict efficient solution defined by the Minkowski difference is introduced, and it is worth mentioning that the introduced strict efficiency is different from those in the existing literature. Secondly, a class of generalized contingent derivatives for set-valued maps is proposed, which are characterized in terms of a set criterion. Finally, the necessary and sufficient optimality conditions and a scalarization theorem for proper strict efficiency are established. Some concrete examples are given to illustrate the obtained results.

MathematicsVol. 14(1)
North Minzu University (CN)
Openalex Percentile: Top 96%
Optimization and Variational Analysis
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